Minerals Technologies (MTX) Return on Capital Employed [ROCE] (2010 - 2026)
Minerals Technologies (MTX) reported Return on Capital Employed [ROCE] of -1.08% for Q2 2026, down 3.74 percentage points from 2.66% a year earlier and down 10.19 percentage points from the prior quarter.
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Analysis
Minerals Technologies (MTX) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Minerals Technologies posted Return on Capital Employed [ROCE] of 1.65%, down 7.99 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -4.91 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 9.64% in FY2024 (+3.75 pp), 5.89% in FY2023 (-1.55 pp), 7.44% in FY2022 (-0.76 pp) and 8.21% in FY2021 (+1.65 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2010.
- Year over year, Return on Capital Employed [ROCE] gained in three of the last eight quarters, with an average year-over-year change of -1.47 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2026 (a gain of 7.27 percentage points); the low point was Q4 2025 (a drop of 7.93 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 9.10% (Q1 2026), 1.63% (Q4 2025) and 2.43% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 3.51% |
| 10 | Minerals Technologies | 2.03 Bn | 735.27 Mn | 133.80 Mn | -1.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -1.08% |
| Apr 5, 2026 | 9.10% |
| Dec 31, 2025 | 1.63% |
| Sep 28, 2025 | 2.43% |
| Jun 29, 2025 | 2.66% |
| Mar 30, 2025 | 1.83% |
| Dec 31, 2024 | 9.56% |
| Sep 29, 2024 | 9.26% |
| Jun 30, 2024 | 6.39% |
| Mar 31, 2024 | 6.34% |
| Dec 31, 2023 | 5.95% |
| Oct 1, 2023 | 5.12% |
| Jul 2, 2023 | 6.50% |
| Apr 2, 2023 | 7.26% |
| Dec 31, 2022 | 7.43% |
| Oct 2, 2022 | 7.71% |
| Jul 3, 2022 | 8.44% |
| Apr 3, 2022 | 8.25% |
| Dec 31, 2021 | 7.96% |
| Oct 3, 2021 | 8.21% |
API Access
Minerals Technologies Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();